Abstract
With the rapid development of road traffic, real-time vehicle counting is very important in the construction of intelligent transportation systems (ITSs). Compared with traditional technologies, the video-based method for vehicle counting shows great importance and huge advantages in its low cost, high efficiency, and flexibility. However, many methods find difficulty in balancing the accuracy and complexity of the algorithm. For example, compared with traditional and simple methods, deep learning methods may achieve higher precision, but they also greatly increase the complexity of the algorithm. In addition to that, most of the methods only work under one mode of color, which is a waste of available information. Considering the above, a multi-loop vehicle-counting method under gray mode and RGB mode was proposed in this paper. Under gray and RGB modes, the moving vehicle can be detected more completely; with the help of multiple loops, vehicle counting could better deal with different influencing factors, such as driving behavior, traffic environment, shooting angle, etc. The experimental results show that the proposed method is able to count vehicles with more than 98.5% accuracy while dealing with different road scenes.
Highlights
IntroductionPublisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations
In view of the problem that the vehicle extracted by the existing motion-based method produces holes, a detection method operated under two modes of color, that is gray mode and RGB mode, is proposed to improve the integrity of vehicle
We presented a multi-loop vehicle counting method under gray mode and RGB mode
Summary
Publisher’s Note: MDPI stays neutral with regard to jurisdictional claims in published maps and institutional affiliations. Real-time traffic monitoring has attracted extensive attention [1] with the development of intelligent transportation systems (ITSs). In order to build a powerful and reliable intelligent transportation system, vehicle detection and counting is one of the most important parts of collecting and analyzing large mode traffic information data [2]. It plays an important role in many practical situations, such as solving traffic congestion problems and improving traffic safety
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